Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Lujuan Deng"'
Publikováno v:
International Journal of Advanced Computer Science & Applications; Jun2024, Vol. 15 Issue 6, p1228-1236, 9p
Publikováno v:
Computers, Materials & Continua; 2024, Vol. 78 Issue 3, p4071-4089, 19p
Publikováno v:
Computers, Materials & Continua; 2024, Vol. 78 Issue 1, p1157-1170, 14p
Publikováno v:
Electronics; Volume 12; Issue 13; Pages: 2910
With the rapid popularity and continuous development of social networks, users’ communication and interaction through platforms such as microblogs and forums have become more and more frequent. The comment data on these platforms reflect users’ o
Publikováno v:
Journal of Electronic Imaging. 32
Publikováno v:
International Transactions on Electrical Energy Systems.
The convolutional neural network can extract local features of text but cannot capture structure information or semantic relationships between words, and a single CNN model’s classification performance is low, whereas GRU can effectively extract se
Autor:
Zuhe Li, Qingbing Guo, Chengyao Feng, Lujuan Deng, Qiuwen Zhang, Jianwei Zhang, Fengqin Wang, Qian Sun
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2022 (2022)
Multimodal sentiment analysis aims to harvest people’s opinions or attitudes from multimedia data through fusion techniques. However, existing fusion methods cannot take advantage of the correlation between multimodal data but introduce interferenc
Autor:
Qingbing Guo, Huanlong Zhang, Qiuwen Zhang, Jianwei Zhang, Li Zuhe, Lujuan Deng, Yu Chen, Qian Sun, Huaiguang Wu
Publikováno v:
Soft Computing.
Visual sentiment analysis which intends to predict the sentiment orientation of images and videos mainly focuses on building a mapping between visual content and sentiment results. Instead of using visual analysis models to bridge the semantic gap di
Linked Data, a new form of knowledge representation and publishing described by RDF, can provide more precise and comprehensible semantic structures. However, the current RDF Schema (RDFS) and SPARQL-based query strategy cannot fully express the sema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28feecf5a0c981d3f2321bd951cd4577
https://doi.org/10.4018/978-1-5225-7186-5.ch005
https://doi.org/10.4018/978-1-5225-7186-5.ch005
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783319557045
DASFAA Workshops
DASFAA Workshops
Nowadays, it has been a significant problem to recommend learning strategy for different learners in programming learning projects. This paper discusses a personalized learning strategy recommendation approach to aid programming learning. In this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26cf7668afd3c7954028ed1ae4f2a58d
https://doi.org/10.1007/978-3-319-55705-2_21
https://doi.org/10.1007/978-3-319-55705-2_21